Presentation is loading. Please wait.

Presentation is loading. Please wait.

Problem Solving 8.2.

Similar presentations


Presentation on theme: "Problem Solving 8.2."— Presentation transcript:

1 Problem Solving 8.2

2 Approaches to Problem Solving
Algorithms An algorithm is a specific procedure that, when used properly and in the right circumstances, will always lead to the solution of a problem. Mathematical formulas are examples of algorithms. Other examples of algorithms are: recipes (especially baking recipes), building permits, facial contouring (makeovers), etc.

3 Approaches to Problem Solving, cont’d
Heuristics Algorithms are guaranteed to work, but they are not always practical. This is why people use heuristics for many types of problems. Heuristics are rules of thumb that often, but not always, help us solve problems. They are shortcuts that are faster than algorithms, but they are not always reliable. How do you get to the library from here during class change? (Use algorithmic and heuristic approaches)

4 Problem-Solving Methods
Trial and Error Somewhat similar to systematic searching, but more haphazard and less reliable. Difference Reduction Difference reduction is a problem-solving method in which we identify our goal, where we are in relation to it, and the direction we must go to move closer to it. The aim is to reduce the difference between a present situation in which a problem is unsolved to a desired situation in which the problem is solved. Not always a reliable method.

5 Problem-Solving Methods, cont’d
Means-End Analysis Means-end analysis is a heuristic problem-solving technique. In means-end analysis, certain things we do (means) will have certain results (ends). Focus on the knowledge that a particular action will have a particular result.

6 Problem-Solving Methods, cont’d
Working Backward Involves breaking a problem down into parts and dealing with each part individually. Starts by examining the final goal, then works back to determine the best course of action. Very useful when the goal is known but the way to achieve it is not.

7 Problem-Solving Methods, cont’d
Analogies An analogy is a similarity between two or more items, events, or situations. When people have successfully solved one problem, they may try to use the same approach in solving another problem if it is similar enough to the first one.

8 Obstacles to Problem Solving
Mental Sets The tendency to respond to a new problem with an approach that was successfully used with similar problems is called mental set. Mental set can get in the way of problem-solving.

9 Obstacles to Problem Solving, cont’d
Functional Fixedness Another obstacle to problem solving is called functional fixedness, which is the tendency to think of an object as being useful only for the function that the object is usually used for. Functional fixedness can interfere with finding a solution to a problem.

10

11

12

13

14 Problem Solving and Creativity
Flexibility Flexibility is the ability to adapt to new, different, or changing situations. Flexibility leads to original thinking. Recombination Recombination is the mental rearrangement of elements of a problem.

15 Problem Solving and Creativity, cont’d
Insight and Incubation Insight gives us sudden understanding of a problem. The incubation effect is the tendency to arrive at a solution after a period of time away from the problem.

16


Download ppt "Problem Solving 8.2."

Similar presentations


Ads by Google